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Merge pull request #1073 from photon149/main
Faker API
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‎APIScripts/Faker API/README.md

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# Faker API (Fake Data Generator)
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## AIM
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To randomly generate fake data for further application
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## Purpose
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To generate fake data for Data Science purposes or testing purposes [FAKER API](https://fakerapi.it/en)
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We can generate fake data related to:
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- Address , which includes the street address , city , district, pincode ,etc.
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- People , whether male or female , with the inclusion of first name , last name , email id ,etc.
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- Credit Card Information , all the factors related to credit cards , like card no . , cvv,card holder name ,etc.
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- Location , which includes the latitude and longitude of the location
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- Companies : with their name , email address,contact no , location , etc.
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<br>
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and many more ...
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## Short description of package/script
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Libraries used in this project are:<br>
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- ```requests```:- To get an API call from the website. <br>
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- ```json```:- To convert the json data that we got from API to python data.
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- ```fakerapi```:- To call in the Faker package to generate fake data
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## Workflow of the Project
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This project follows the following steps:<br>
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- Importing relevant libraries
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- Making an API call
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- Converting json data to python data
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- Accessing the python data to show the records.
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## Setup Instructions
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In order to run this code in your system, one needs to make sure that relevant libraries are installed, use the following commands for installation:
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- ```pip install requests```<br>
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- ```pip install json```
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## Outputs
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<br>
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Request call getting 200 means API call successfull
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<img src = "Images/example_faker.png"><br>
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Fake Address Generation eg
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<img src = "Images/address_faker.png"><br>
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Fake credit card details generated
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<img src = "Images/creditcard_faker.png">
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Fake location generation
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<img src = "Images/location_faker.png"><br>
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Fake People generation
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<img src = "Images/user_faker.png"><br>
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## Author
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[Shiwansh Raj](https://github.com/photon149)

‎APIScripts/Faker API/faker_api.py

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#Importing required libraries
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import fakerapi
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import json
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import requests
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'''
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Faker Library is used to create fake data
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In it's syntax , Every resource accepts 3 common GET parameters:
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_locale
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_quantity
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_seed
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_Locale : This parameter means the language of the API response we want to get and accept the locale format "en_EN".
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For example: https://fakerapi.it/api/v1/persons?_locale=en_EN . This example returns people with English names.
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_quantity : This parameter means the number of rows we want to obtain and accept only integers.
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If you request more than 1000 rows (maximum) the system will return 1000 rows anyway.
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Default Value : 10
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Min: 1 - Max: 1000
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Example : https://fakerapi.it/api/v1/addresses?_quantity=5 This example returns 5 Addresses
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_seed : This parameter accept an integer and allows to get always the same results.
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So, executing the same request with _seed parameter set to the same value (ex. 12345) the results will never change.
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Default Value : null
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Example : https://fakerapi.it/api/v1/companies?_seed=12456
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'''
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#Now we will go through the basic example and discover some of the options Faker provides us to generate random data for
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response = requests.get('https://fakerapi.it/api/v1/addresses?_quantity=5')
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print(response.status_code)
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#To check whether API call is successful(200) or not(404)
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print(response.text)
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# To access all the content of the website
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print(response.url)
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# print(response.url) # url of the website to which we made our API call
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print("\n\n")
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python_data = json.loads(response.text) # Converting json data to python data
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# print(type(python_data))
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for key in python_data.keys():
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print(f'{key} : {python_data[key]}') # Calling the whole data from the API
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# In this example 5 Addresses were printed , apart from addresses we will see some other options Faker provides us with.
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#Example 1 : Credit Cards
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response = requests.get('https://fakerapi.it/api/v1/credit_cards?_quantity=3')
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print("\n\n")
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python_data = json.loads(response.text) # Converting json data to python data
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# print(type(python_data))
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for key in python_data.keys():
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print(f'{key} : {python_data[key]}')
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#In this example we got details of 3 fake credit cards
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#Example 2 : Places
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response = requests.get('https://fakerapi.it/api/v1/places?_quantity=1')
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print("\n\n")
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python_data = json.loads(response.text) # Converting json data to python data
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# print(type(python_data))
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for key in python_data.keys():
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print(f'{key} : {python_data[key]}')
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# In this example we are generating fake data for any random place with position of their longitude and longitude
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#Example 3 : Persons
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response = requests.get('https://fakerapi.it/api/v1/users?_quantity=7&_gender=female')
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print("\n\n")
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python_data = json.loads(response.text) # Converting json data to python data
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# print(type(python_data))
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for key in python_data.keys():
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print(f'{key} : {python_data[key]}')
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# In this data of 7 random females are generated , with their firstname, lastname,email,etc.

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